- 20 May, 2024 1 commit
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Younes Belkada authored
* Update Dockerfile * Update docker/transformers-quantization-latest-gpu/Dockerfile
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- 16 May, 2024 1 commit
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Younes Belkada authored
Reverting to 2.2.1
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- 15 May, 2024 1 commit
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Yih-Dar authored
2.3 Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 02 May, 2024 1 commit
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mobicham authored
* update HQQ transformers integration * push import_utils.py * add force_hooks check in modeling_utils.py * fix | with Optional * force bias as param * check bias is Tensor * force forward for multi-gpu * review fixes pass * remove torch grad() * if any key in linear_tags fix * add cpu/disk check * isinstance return * add multigpu test + refactor tests * clean hqq_utils imports in hqq.py * clean hqq_utils imports in quantizer_hqq.py * delete hqq_utils.py * Delete src/transformers/utils/hqq_utils.py * ruff init * remove torch.float16 from __init__ in test * refactor test * isinstance -> type in quantizer_hqq.py * cpu/disk device_map check in quantizer_hqq.py * remove type(module) nn.linear check in quantizer_hqq.py * add BaseQuantizeConfig import inside HqqConfig init * remove hqq import in hqq.py * remove accelerate import from test_hqq.py * quant config.py doc update * add hqqconfig to main_classes doc * make style * __init__ fix * ruff __init__ * skip_modules list * hqqconfig format fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * test_hqq.py remove mistral comment * remove self.using_multi_gpu is False * torch_dtype default val set and logger.info * hqq.py isinstance fix * remove torch=None * torch_device test_hqq * rename test_hqq * MODEL_ID in test_hqq * quantizer_hqq setattr fix * quantizer_hqq typo fix * imports quantizer_hqq.py * isinstance quantizer_hqq * hqq_layer.bias reformat quantizer_hqq * Step 2 as comment in quantizer_hqq * prepare_for_hqq_linear() comment * keep_in_fp32_modules fix * HqqHfQuantizer reformat * quantization.md hqqconfig * quantization.md model example reformat * quantization.md # space * quantization.md space }) * quantization.md space }) * quantization_config fix doc Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * axis value check in quantization_config * format * dynamic config explanation * quant config method in quantization.md * remove shard-level progress * .cuda fix modeling_utils * test_hqq fixes * make fix-copies --------- Co-authored-by:
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- 22 Apr, 2024 1 commit
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zhong zhuang authored
* [FEAT]: EETQ quantizer support * Update quantization.md * Update docs/source/en/main_classes/quantization.md Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> * Update docs/source/en/quantization.md Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * add copyright * Update quantization.md * Update docs/source/en/quantization.md Co-authored-by:
Marc Sun <marc@huggingface.co> Co-authored-by:
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- 09 Apr, 2024 1 commit
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Marc Sun authored
* revert back to torch 2.1.1 * run test * switch to torch 2.2.1 * udapte dockerfile * fix awq tests * fix test * run quanto tests * update tests * split quantization tests * fix * fix again * final fix * fix report artifact * build docker again * Revert "build docker again" This reverts commit 399a5f9d9308da071d79034f238c719de0f3532e. * debug * revert * style * new notification system * testing notfication * rebuild docker * fix_prev_ci_results * typo * remove warning * fix typo * fix artifact name * debug * issue fixed * debug again * fix * fix time * test notif with faling test * typo * issues again * final fix ? * run all quantization tests again * remove name to clear space * revert modfiication done on workflow * fix * build docker * build only quant docker * fix quantization ci * fix * fix report * better quantization_matrix * add print * revert to the basic one
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- 15 Mar, 2024 1 commit
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Marc Sun authored
* start integration * fix * add and debug tests * update tests * make pytorch serialization works * compatible with device_map and offload * fix tests * make style * add ref * guard against safetensors * add float8 and style * fix is_serializable * Fix shard_checkpoint compatibility with quanto * more tests * docs * adjust memory * better * style * pass tests * Update src/transformers/modeling_utils.py Co-authored-by:
David Corvoysier <david.corvoysier@gmail.com> * better comment * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * pass weights_only_kwarg instead * fix shard_checkpoint loading * simplify update_missing_keys * Update tests/quantization/quanto_integration/test_quanto.py Co-authored-by:
Younes Belkada <younesbelkada@gmail.com>
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- 05 Mar, 2024 1 commit
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Ilyas Moutawwakil authored
* added exllama kernels support for awq models * doc * style * Update src/transformers/modeling_utils.py Co-authored-by:
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- 28 Feb, 2024 1 commit
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Marc Sun authored
* [CI] Quantization workflow * build dockerfile * fix dockerfile * update self-cheduled.yml * test build dockerfile on push * fix torch install * udapte to python 3.10 * update aqlm version * uncomment build dockerfile * tests if the scheduler works * fix docker * do not trigger on psuh again * add additional runs * test again * all good * style * Update .github/workflows/self-scheduled.yml Co-authored-by:
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